Emely (Emely-lee)

Emely-lee

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GMVAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

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VAE-GMVAE

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

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GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

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vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

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Inferential_Sensor_Experiment

Soft Sensor with Variational Inference Technique

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team-learning-sql

主要存储Datawhale组队学习中“SQL”方向的资料。

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PRML

PRML algorithms implemented in Python

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MachineLearningNotes

My personal notes

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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tennessee-eastman-profBraatz

The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

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higgsml

Repository for post higgs-competition model submission

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spark-parSketch

Massively Distributed Indexing of Time Series

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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